This ELT quiz evaluates your knowledge of Apache Airflow Interview Questions, DBT, and Databricks for pipeline orchestration.

Apache Airflow Skills Test​

It provides ACID transactions on big data

What is a key benefit of Delta Lake in Databricks?

To inject DBT-specific variables and metadata during compilation

What is the purpose of the Jinja context in DBT macros?

In Apache Airflow, what does DAG stand for?

In Airflow, what role do task dependencies play in DAGs?

To create DAGs dynamically at runtime using metadata or configuration

Why would you use dynamic DAG generation in Airflow?

Sources are raw tables, models are transformed

How do DBT sources differ from DBT models?

What is a primary use of Databricks Notebooks?

To track slowly changing dimensions over time

Why are DBT snapshots used in ETL pipelines?

It allows querying previous versions of a table using timestamp or version number

A feature for syncing notebooks in real-time

They control task execution based on upstream task outcomes

In Apache Airflow, what do trigger rules determine?

What is the function of Job Pipelines in Databricks?

What does 'schedule_interval' define in Airflow?

In DBT, what do models typically represent?

What is the primary use of macros in DBT?

Apache Airflow Skills Test